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BANNING ADS FROM PUBLIC TV:
LESSONS FROM FRANCE
Lapo Filistrucchia, Luigi Luini
b, Andrea Mangani
c
Preliminary and Incomplete
This Draft: 15 November 2011
Abstract
We analyse the effects of the advertising ban on French public television, which came
into effect on the 5th of January 2009. The ban forbid commercial advertising on public
TV in the time slot 20.00-6.00.
We focus our analysis on the advertising market. Preliminary evidence would seem to
suggest that advertising which was previously broadcasted on public TV in the time slot
20.00-6.00 did not switch to private channels in the same time slot (nor did the price in
that time slot on private channels rise). Rather advertising partly switched to public TV
in the time slot 6.00-20.00 and only slowly migrated towards digital TV channels. The
common expectation that the ban would favour private TV channels at the expense of
public ones was therefore wrong. Possible explanations for the finding are explored.
JEL Classification: L82, D18, M7.
Keywords : two-sided markets, media markets, advertising caps. advertising ban,
public television
a Department of Economics, CentER and TILEC, Tilburg University and Department of Economics,
University of Florence b Department of Economics, University of Siena c Department of Economics, University of Pisa We thank seminar participants at the PRIN 2007 meeting on “Two-Sided Markets” in Bergamo, at the 2nd TILEC Workshop on Law and Economics of Media and Communications and the ICT conference in Paris. Dries De Smet and Philippe Gagnepain provided useful comments. Pauline Affeldt provided extraordinary research assistance. The project was started thanks to a 2007 PRIN grant of the Italian Ministery of University and Scientific Research. In addition, Lapo Filistrucchi acknowledges financial support from a Microsoft grant to TILEC. Such a grant was provided in accordance with the KNAW Declaration of Scientific Independence. All remaining errors are of course ours.
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1. Introduction
Whether public TV should be financed by licence fees and public transfers only or also
by commercial advertising is a long lasting debate in many countries. Supporters of a
public TV financed only by licence fees and public transfers claim that this would
guarantee a higher quality of the programs by freeing public TV stations from the
interests of advertisers. It would also allow public TV stations to pursue a different and
nobler objective than audience maximization, as for instance education. Those against
claim on the contrary that the resulting loss in advertising revenues will lower the
ability of TV stations to invest in quality and thus lead to programs of lower quality.
Moreover, a complete dependence on public funding would facilitate political control of
media.
Whereas the BBC is a well-known and successful example of a public TV financed only
by licence fees and public transfers, whose quality is often taken as an example of
success, in most other European countries commercial advertising revenues constitute a
substantial part of the budget of public TVs. Another exception has however been
Germany, where advertising on public TV after 20.00 has been forbidden since 1991.1
We do not address here the debate of whether public TV should or should not be
financed by advertising. We focus instead on the impact of a regulatory intervention
banning ads on public TV starting from a situation where public TV was financing itself
also and therefore potentially competing with private commercial TV not only on the
audience side but also on the advertising side of the market.
Following the earlier German example, the French government decided to ban
commercial advertisements on State controlled TV stations starting from January 5,
2009. The ban initially applies to programs broadcasted between 20.00 and 6.00 and it
is planned that it will be gradually extended to all broadcasting time.2
1 The ban was confirmed also in 2010. See Rundfunkstaatsvertrag, 1991, and Rundfunkstaatsvertrag,
2010. Note however that it is still allowed to sponsor programs broadcasted after 20h. Recently proposals
have been put forward to ban also sponsoring after 20h on public TV stations except for sport events, and
to ban advertising from public TV stations even before 20h. 2 Ministère de la culture et de la communication, 2009
3
The ban, announced by President Sarkozy in a press conference held on 8 January 2008,
came completely as a surprise to both the French government and the management of
French public TV3 and the general perception was that President Sarkozy was doing a
favour to private TV channels at the expense of public ones. For example the Economist
stated “the new plan was unexpectedly proposed by President Nicolas Sarkozy”. The
Economist also raised the question of who would gain from the ban: “If the
beneficiaries of the ban on advertising are not necessarily the viewers, who gains?
Unsurprisingly, France's commercial channels are delighted at the prospect of extra ad
revenue coming their way.” “TF1's biggest shareholder is Bouygues, a conglomerate,
whose boss, Martin Bouygues, just happens to be a close friend of Mr Sarkozy's and
godfather to one of his sons.” “Another bigwig who will benefit is Vincent Bolloré, a
media magnate who launched a television channel, Direct 8, in 2005. Mr Sarkozy has
borrowed Mr Bolloré's yacht and private jet for two holidays since his election last May.”
“His opponents grumble that his new plan will mainly benefit his friends.” (all citations
from The Economist, A fuzzy picture, February 21, 2008).
The Guardian shared the Economist’s opinion by stating that “Sarkozy, who moves in a
circle of wealthy television owners and press barons and counts "Télépresident" among
his numerous nicknames, surprised even his own culture minister this week when he
announced that adverts should be eliminated from France's five state TV stations”.
According to the Guardian, “[s]crapping adverts from state TV would mean €800m
(£600m) in advertising revenues immediately transferring to private stations” and “[t]he
Socialist party fumed that the immediate beneficiaries of the shift in advertising would
be Sarkozy's own media tycoon friends.” (all citations from The Guardian, Sarkozy to
ban advertizing from state television, January 10, 2008).
The current paper will use this “natural experiment” to estimate the impact of the
regulatory change on the advertising market, by analysing how quantity, price and
advertising revenues have changed on both public and private TV channels. The first
3 According to Le Monde Diplomatique (2008), the announcement of President Sarkozy was completely
unexpected. Neither the prime minister Francois Fillon, Mrs Christine Albanel (ministre de l’audiovisuel
public) nor Patrick de Carolis (president of France Télévisions) knew anything about this decision.
According to the article only Henri Guaino (who apparently writes the TV speeches for Sarkozy) and
Alain Minc (consultant of the industrialist Vincent Bolloré) were informed about Sarkozy’s plans. The
last one is supposed to be involved in the development of Sarkozy’s plan. Also according to Le Canard
enchaîné (2008) and The Economist (2008) the announcement of the advertising ban on public television
was unexpected. According to the Guardian (2008) states the announcement was unexpected and even
the culture minister did not know anything about the plan.
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objective is to analyse the impact of such an advertising ban on competition between
public and private TV channels. Since theoretically the impact of such a regulatory
intervention is likely to depend on the features of competition in the market, the analysis
is also likely to shed some light also on these features. As such it might provide some
guidance on the most appropriate methods of financing the vanishing of advertising
revenues for State-controlled channels. More generally, it might have policy
implications for regulatory interventions on the media market which aim at setting
limits to advertising concentration in a given media product (e.g. the EU Audiovisual
Media services directive) or aim at defending pluralism by setting limits to
concentration in the advertising market.
The regulation of the maximum amount of advertising during television programming
in the EU is decided by the European Commission through the Directive “Television
without Frontiers”, implemented by each Member State. The Directive4
imposes
advertising floors of 12 minutes per hour and 3 hours per day.5 However, single
Member States are free to adopt stricter rules. In this context, even before President
Sarkozy’s decision, France had one of the most restrictive legislations in Europe.
Probably in order to prepare the advertising ban on public TV stations, the decree
approved on December 19th
, 2008 and coming into force on the 1st of January 2009,
established the extension of the average daily length of advertising from 6 to 9 minutes
per hour for the most important private channels TF1 and M6 (however, the rule
regarded also cable, satellite and DTT stations).6 As of 1
st of January 2009, the average
length of advertising decreased from 8 to 6 minutes per hour for the public television
channels (France 2, France 3, France 5).7 Furthermore, the decree established the shift
from the “glissante” to the “exact” hour as the reference to calculate the maximum
advertising time permitted in an hour, which remained at 12 minutes.8 These new
constraints conformed to the new European Directive, “Audiovisual Media Services”9,
which had partially modified the previous one. It abolished in particular the daily limit
4 See http://ec.europa.eu/avpolicy/reg/tvwf/index_en.htm 5 Ministère de la culture et de la communication, 2008 6 Légifrance, 2010 7 SNPTV, 2010 8 SNPTV, 2010 9 See http://eur-lex.europa.eu/LexUriServ/site/fr/oj/2007/l_332/l_33220071218fr00270045.pdf
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of 3 hours of advertising but kept the established hourly limit of 12 minutes for
advertising and teleshopping spots.10
As already mentioned above, the first step of the reform consisted of banning
commercial advertisements on public French TV stations (France 2, France 3, France 4,
France 5 and others, all controlled by France Televisions) between 20pm and 6am
starting from January 5th
, 2009.11
The very same reform includes setting at zero the
advertising in all time slots of France Télévisions by the end of 2011.
Also the Spanish government decided to follow the German and French examples
announcing a drastic reduction in advertising on public TV (RTVE) on April 14, 2009
and on May 8 proposing the complete ban of advertising. The law banning ads from
public TV on all time slots was approved by the Spanish parliament on July 29 of 2009.
This law came into effect as of September 1, 2009 but allowed Spanish public TV to
broadcast until the end of 2009 the advertising contracted before this date. As from the
first of January of 2010, advertising is banned, except for self-promotion advertising,
corporate communications campaigns and informational campaigns with social
purposes. Moreover, RTVE is not allowed to charge for these exceptional ads. To
finance its operations, the public corporation would continue receiving state subsidies,
in addition to proceeds from new specific taxes to private television stations and
telecommunications companies, and an important percentage of the revenues from the
fee on airwaves usage.
The modalities of the gradual phase out of advertising on France Télévisions are laid
out in the new law on the reform of French public television adopted in March 2009.12
From a strictly arithmetical viewpoint and considering only the daily average duration
of advertising interruptions, private stations (TF1 and M6) could take up completely the
advertisers’ demand in the 20pm-6am time slot, because of the increase of advertising
time from 6 to 9 minutes per hour as mentioned above13
. However, taking into account
the advertising time across different slots, the slots 12am-14pm and 19pm-22pm show
10 European Commission, 2008 11 SNPTV, 2010 12 Ministère de la culture et de la communication, 2009 and Journal Officiel de la République Française,
2009 13 Conseil Supérieur de l’Audiovisuel, 2009
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that the advertising time on private stations was close to the maximum allowed (12
minutes), because of the consumption habits of French viewers.14
These informal observations can be combined with theoretical predictions based on
previous analytical work on the theme. This will be done in Section 3, while the next
section briefly reviews those studies that deal with advertising caps in media markets.
Section 4 describes the data while Section 5 shows the results of the empirical analysis.
Section 6 concludes discussing the policy implications of our main results.
2. Related literature
Following the seminal works by Steiner (1952), Corden (1953) and Reddaway (1963) ,
quite a rich theoretical literature developed on the media markets, e.g. Spence and Owen
(1977) and Beebe (1977). These studies have in the recent years merged into the wider
literature on two-sided markets, as first defined by Parker & Van Alstyne (2002),
Rochet & Tirole (2003, 2006) and Armstrong (2006). As discussed in detail in
Anderson and Gabszewicz (2005), in a two-sided market a media firm typically sells
content to readers/viewers/listeners and advertising space to advertisers and it knows
that the number (and possibly the characteristics) of viewers/readers/listeners influences
the demand for advertising space/time while, on the other hand, the quantity (or
concentration) of advertising slots affects the demand from readers/viewers/listeners. In
other words, a media firm recognises and internalizes the existence of indirect network
effects between the two-sides of the market as it knows that in such a market the viable
business strategy requires bringing “both sides on board”. Whereas clearly the higher
the number of readers/listeners/viewers the higher the demand for ads all else equal,
vice versa it is not clearly established what is the attitude of readers/listeners/viewers
towards advertising.
Most advanced countries regulate the maximum amount (e.g., minutes per hour of
programming) of TV advertising, In addition, policy makers believe that some (de)merit
goods must not be advertised and paternalistic considerations suggest advertising bans
14 Conseil Supérieur de l’Audiovisuel, 2009
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on specific products. Rather surprisingly, economic scholars focused the second point,
while the economic analysis on advertising ceilings is extremely thin15
.
Anderson (2007) uses a two-sided market model to investigate the effects of advertising
caps on social welfare. The disutility that consumers as readers or viewers derive from
advertising may be particularly high with respect to the benefits accruing to advertisers.
With high ad aversion the level of advertising in equilibrium may be excessive with
respect to the social optimum. The opposite circumstance of over provision of
advertising takes place if the advertising nuisance for consumers is lower than the return
for advertisers. Therefore, an advertising cap is socially beneficial in the first case and
harmful in the second. Anderson (2007) studies the advertising choice of a monopolist
platform. With low advertising nuisance, the monopolist determines a level of
advertising which is below the optimal level. Under this circumstance, the effect of an
advertising cap is a further reduction of social welfare. If we consider the opposite
scenario with high advertising nuisance, the level of advertising is over the social
optimum. This means that an advertising cap will increase social welfare. However, the
monopolist profits will fall as well, and this may reduce the incentives for other firms to
enter the market and increase the variety of programming.
Although these results are quite reasonable, they refer to a monopolist platform/editor.
In case of more than one firm in the market, strategic considerations play a major role in
shaping the equilibrium outcome. In addition, the equilibrium changes according the
assumptions on viewers’ behaviour, profit functions of media outlets and advertising
demand function. Anderson (2007) also studies the effects of advertising caps on the
quality of programming and on the degree of diversity between competing platforms.
The results in terms of content quality and variety are mixed and, once more, related to
a monopoly market.
In Australia television advertising was deregulated in September 1987 (with the aim of
reducing the rate of interruption to programs) by allowing stations more flexibility in
their scheduling of ad time. Wright (1994) claims that deregulation caused an increase
in the amount of non-program content. To explore this issue, Wright (1994) puts
forward a duopoly model where commercial TV stations compete and shows that the
15 A correct and complete evaluation of the effects of advertising caps on producers, consumers and
media should include a broad discussion about the role of advertising in modern economies. See
Anderson (2007).
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regulation of the number of advertisements per unit of time both below the joint profit
maximizing level (for appropriate parameters) and below the Nash equilibrium level
(for different appropriate parameters) can reduce program quality. Therefore, depending
on the parameters of the model, fostering competition may be preferable to regulating
the amount of advertisements per unit of time.
Finally, Stuhmeier and Wenzel (2010) analyse the effects of advertising bans. The main
assumptions of their theoretical model are the following: two TV channels, horizontal
program differentiation, a continuum of TV viewers. They assume that there is a
continuum of advertisers with measure 1, with a utility function given by
)2(2
1)( 21
22
2121 abaaaaaAU
where A is the size of the advertising market and ai is the demand of advertising on
channel i. This assumption leads to an indirect demand of advertising given by
jii baaAp
where pi is the price of an advertising unit and the parameter b measures the
differentiation of the channels in the eyes of the advertisers. Stuhmeier and Wenzel
(2010) stress that this approach allows for a correct description of “pecuniary
externalities”, that is, the effect on the advertising price caused by the advertising
decisions of each media outlet16
. The main objective of Stuhmeier and Wenzel (2010) is
to explore the effect of an asymmetric advertising cap, that is, un upper bound imposed
only to the advertising time of a single broadcaster. The model of Stuhmeier and
Wenzel (2010) predicts that and advertising cap will have the following effects: i) the
unregulated channel will increase its advertising level if advertising is a strategic
substitute and decreases its advertising level if advertising is a strategic complement; ii)
strengthening the cap will make the price of advertising rise on both TV channels; iii)
after the introduction of the advertising cap, the unregulated TV station gain higher
profits if the degree of differentiation in the eye of advertisers is over a given level;
otherwise, the profits of the unregulated private channel decrease; iv) for moderate
levels of regulation, the profit of the regulated channel may increase after the
introduction of advertising caps.
16 However, the utility of advertisers is not affected by the number or characteristics of each channel’s
viewers; in other words, they abstract from indirect network effects that typically characterize two sided
markets.
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The theoretical approach of Stuhmeier and Wenzel (2010) is very close to the theme
that this paper wants to investigate empirically. Thus, the next section will try to
generalize the results of Stuhmeier and Wenzel (2010) and other authors in order to
propose a theoretical background for the empirical analysis described in the fourth and
fifth Section.
3. Theoretical background
Although this paper deals with two-sided markets, the theoretical and empirical analysis
will focus on the advertising market. In fact, broadcasting televisions derive the bulk of
their revenues from selling advertising time, given the nature of public good of TV
programs on the viewers’ side17
. We first formalize a theoretical argument in general
terms, then we apply the very same argument to the total suppression of advertising on a
single TV station. In particular, we study the effects produced by a change of the level
of advertising of a single TV station. In the rest of the section we assume a duopoly
market, with a public station competing with a private station. In particular, we assume
a public TV station which reduces its level of advertising because of an advertising cap;
in other words, we have a “regulated” public station competing with an “unregulated”
private station. The reduction of advertising of the public TV station will produce the
following effects.
1) The first effect derives from cross network externalities. If we assume viewers
adverse to advertising18
, the audience of the public station raises and, ceteris
paribus, the audience of the private station decreases. This effect increases the
demand for advertising of the public station or, in other words, the willingness to
pay of advertisers to advertise on the public TV increases.
2) The second effect is sometimes described “pecuniary externalities” (Reisinger et
al., 2009) and goes in the opposite direction, at least partially: the reduction of
17 In many countries a possession fee is levied to finance the TV channels controlled by the State. 18 Most contributions of media economics, for example Anderson (2005); Mangani (2003), Anderson and
Coate (2005); Ambrus and Reisinger (2005); Choi (2006); Crampes et al. (2004); Gabszewicz et al.
(2004); Kind et al. (2009); Kohlschein (2004); Kremhelmer and Zenger (2008); Peitz and Valetti (2008)
assume that consumers dislike advertising. Exceptions are Hackner and Nyberg (2000), who assume that
readers like advertising in print media, and Sonnac (2000), who considers feedbacks from advertising to
circulation under the two alternative assumptions of consumer advertising aversion and advertising
appreciation. Also Armstrong (2005), considers alternative scenarios, characterized by aversion, love or
indifference towards advertising.
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advertising on the public station determines a reduction of total supply of
advertising. If we assume an inverse demand function for advertising taking the
form of pA=f(W) with f’<0, where pA is the price per viewer-time and W is the
total supply of viewers-time units, the price of advertising will increase after an
advertising ban.19
There are two crucial points in the pecuniary externalities argument. First, the price of
advertising needs to be unique. This contrasts with the causal observations of frequent
price differentiation in the advertising market. Second, the economic rationale behind
the argument may not hold when a TV station decreases its advertising level. Here, the
competitor has no interest in stabilizing the increasing advertising price.
Broadly speaking, the reduction of advertising quantity determines ambiguous effects
on the price of advertising. These effects depend on the structure of the market (namely,
the number of broadcasting firms), the degree of product differentiation across media
outlets (Reisinger et al., 2009), etc.
The relative importance of network and/or pecuniary effects affects the definition of
advertising levels as strategic substitutes or strategic complements. Since advertising is
an implicit price for viewers, the levels of advertising can be seen as strategic
complements: when a TV station increases the advertising quantity, the other does the
same, and the other way round. However, when we consider pecuniary externalities, the
picture is more complex. In fact, when a (public) TV station increases the level of
advertising, the price of advertising decreases. As a reaction, the competitor has an
incentive to reduce its level of advertising to stabilize the price; from this perspective,
the advertising levels may be seen as strategic substitutes.
The decision to ban advertising completely in a given time slot is an extreme case of
this theoretical framework. In fact, when a broadcaster eliminates advertising in a given
time slot it substantially exits the market, because the “effective” market of
broadcasting television is on the side of advertisers. The competitor becomes a
monopolist on the advertisers’ side, although it may finds itself without a relevant
19 The “modern” studies on media markets focus on the first effect to highlight the importance of cross
network externalities. Only Reisinger et al (2009) and Stuhmeier and Wenzel (2010) treat explicitly the
pecuniary externalities. In reality, Masson et al. (1990) analyzed the second and direct effect of
“advertising supply” on price, and then showed the importance of advertising aversion and network
externalities for the market equilibrium.
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audience that has shift to the station without advertising. Potentially, this circumstance
creates a large inefficiency. The market outcome is therefore ambiguous. For example,
if the degree of program differentiation is relatively large with respect to advertising
aversion, the absence of advertising on a single TV station will not shift the audience
from its competitor. If the pecuniary effect prevails upon the cross network effects, the
private/monopolist/unregulated broadcaster keeps positive levels of advertising and
increase its revenues. Conversely, if advertising aversion prevails upon program
differentiation, viewers may abandon the private and unregulated TV channel which,
although monopolist on the advertisers’ side, cannot exploit its market power.
Advertising aversion of TV viewers and product differentiation between media outlets
are difficult to estimate directly. Therefore, the empirical analysis regarding the French
experience has the objective to explore these issues by focusing on the consequences of
the ban in the advertising market.
4. Data
The dataset contains data on quantity of advertising (number of spots and seconds) and
advertising revenues per channel (aerial, satellite, cable and digital) for each week in the
seasons 2007-2008 and 2008-2009 (excluding the summer months, i.e. July and
August)20
. We are therefore able to calculate the average price per spot and price per
second, in addition to the length of a spot. As already mentioned, starting from the 6th
of January 2009, advertising was banned on public aerial television (“hertziennes
channels”) in the time period 20.00-6.00, which includes prime-time. We have data both
before and after the ban in the season 2008-2009.
Figure 1 reports summary statistics. Note that we have data on 42 weeks for 2 time slots
during the day for 2 seasons for 91 channels, which implies a maximum number of
observations equal to 15288.
Table 1 – Descriptive statistics
20
The data were obtained from TNS France.
12
Variable Observations Mean Standard
deviaton
revenues 14165 807027.6 3574208
spots 14165 515.6939 522.1669
seconds 14165 10791.83 10608.26
night time 15288 0.5054945 0.4999862
bann 15288 0.297619 0.457226
We also added data on the stock market performance of the firms owning Tv channels
in the periods above.
5. Empirical Analysis
A preliminary analysis of the data, and a comparison of the seasons 2007-2008 and
2008-2009, before and after the ban shows that
- overall, nominal advertising revenues in the season 2008-2009 were more or less at the
level of those of the season 2007-2008; the number of advertising slots in the season
2008-2009 were slightly higher than those in the season 2007-2008 before January 6th
and more or less at the same level afterwards; the same is true for the number of
seconds of advertising; the price of an ad, and even more the price per second, in the
season 2008-2009 were lower than those in the season 2007-2008 before January 6th
and more or less at the same level after January 6th.
- on hertziennes channels, advertising revenues in the season 2008-2009 were lower
than those in the season 2007-2008. There appears to be, maybe, a further slight decline
just after January 6th. Advertising spots in the season 2008-2009 more or less at the
same level than those in the season 2007-2008. They become slightly lower just after
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January 6th. A similar result is found looking at seconds. The price of an ad in the
season 2008-2009 was slightly lower than in the season 2007-2008 before January 6th
and more or less at the same level after January 6th. The difference between the months
before and after the ban is less evident looking at the price per second.
-on cable & satellite channels, advertising revenues in the season 2008-2009 were more
or less at the level of the season 2007-2008. There appears to be no particular increase
just after January 6th. Advertising slots in the season 2008-2009 were slightly higher
than those in the season 2007-2009 before January 6th and more or less at the same
level , or slightly lower, January 6th. A similar result is found looking at seconds. The
price of an ad in the season 2008-2009 was lower than in the season 2007-2008 before
the ban and more or less at the same level after the ban. A similar result is found
looking at seconds.
-on digital channels, advertising revenues for in the season 2008-2009 have more or less
doubled with respect to those in the season 2007-2008. However, there is no particular
increase just after January 6th, not even in the time slot 20.00-6.00. Advertising slots in
the season 2008-2009 were higher than those in the season 2007-2009 before January
6th and more or less at the same level, or only slightly higher, after January 6th. This
finding does not depend on the time slot. A similar result is found looking at seconds.
The price of an ad, or the price per second, in the season 2008-2009 were higher than
those in the season 2007-2008 and always growing. There is no change in trend at the
time the ban came into effect, not even in the slot 20.00-6.00 or in the slot 6.00-20.00.
All this seems to suggest that, while advertising on digital television is growing, its
growth has not been affected by the ban coming into effect on January 6th. Similarly,
advertising does not seem to have switched to cable and satellite.
An effect seems present at the aggregate level in that after the ban the average price
seems to have declined while also the quantity declined. To that extent part of the
advertising might have ceased rather than switched as a consequence of the shift.
14
All in all, however, it would seem justified to focus our attention on the competition
between public and private aerial TV channels. To this regard the following can be
observed:
-on public channels, advertising revenues have overall declined in the season 2008-2009
with respect to the season 2007-2008. However, the decline with respect to the previous
season is lower after the advertising ban, despite the lack of advertising revenues from
the time slot 20.00-6.00. In fact, the time slot 6.00-20.00 advertising revenues for public
channels have slightly increased with respect to the previous season after the ban cam
into effect, as before the ban they were much lower than in the previous season.
Advertising slots have declined in the season 2008-2009 with respect to the season
2007-2008 after the ban came into effect. This is due to the ban of advertising in the
time slot 20.00-6.00. However, in the time slot 6.00-20.00 advertising was lower before
the ban in the season 2008-2009 with respect to the season 2007-2008 but after the ban
it grew to the same level. The latter is more evident looking at seconds. The price per ad
and the price per second were initially much lower in the season 2008-2009 with respect
to the season 2007-2008. They remained lower even after the ban came into effect.
However, in the time slot 6.00-20.00 the price per ad and the price per second after the
ban in the season 2008-2009 were at the same level of the prices in the season 2007-
2008.
-on private channels, advertising revenues have remained more or less stable for private
channels in the season 2008-2009 with respect to the season 2007-2008 before the ban
on advertising on public tv came into effect. However, after the ban came into effect,
advertising revenues seem to have declined a bit; this effect seems due to a decline in
advertising revenues in the time slot 20.00-6.00 and maybe also in the time slot 6.00-
20.00. Advertising slots have remained more or less stable for private channels in the
season 2008-2009 with respect to the season 2007-2008 before the ban on advertising
on public tv came into effect. However, after the ban came into effect, advertising slots
seem to have declined a bit; this effect seems due to a decline in advertising slots in the
time slot 6.00-20.00. A similar result is found looking at seconds. The price of an ad
and the price per second have remained more or less stable for private channels in the
15
season 2008-2009 with respect to the season 2007-2008 before the ban on advertising
on public tv came into effect. However, after the ban came into effect, the price per
second has declined a bit; this effect seems due to a decline in the price per ad, and per
second, in the time slot 20.00-6.00.
All this seems to suggest that advertising which was previously broadcasted on public
TV in the time slot 20.00-6.00 did not switch to private channels in the same time slot
(nor was the price in that time slot on private channels increased). Rather advertising
switched to public TV in the time slot 6.00-20.00.
This might imply that from the point of view of advertisers viewers are more
differentiated between public and private channels than they are across time slots: a
person watching public TV in the 6.00-20.00 time slot is a better subistitute for one who
watches public TV in the time slot 20-00-6.00 than one who watches TV on a private
channel.
All in all, the preliminary evidence shown above would seem to suggest that the
common expectation that the ban would favour private TV channels at the expense of
public ones was not fullfilled.
Advertising seconds
16
Between Week 37 and Week 52 in the Season 2008-2009 there were on average
672.4902 more seconds of advertising than in the same weeks in Season 2007-2008.
Such a difference was instead lower and equal to 565.0533 between Week 1 and Week
26. The difference between the two season is significant but its difference between the
pre ban and the pst ban period is not significant as shown in Table 2.
Ad Seconds Public 20.00-6.00
0
5000
10000
15000
20000
25000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
Ad Seconds Public 6.00-20.00
0
10000
20000
30000
40000
50000
60000
70000
80000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
17
Table 2 Difference in difference: seconds of advertising on private TV during the
night (20:00-06:00)
Difference in difference seconds
bann -107.4
(358.2)
constant 672.5**
(276.4)
Observations 126
R-squared 0.001
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Seconds Private 20.00-6.00
0
10000
20000
30000
40000
50000
60000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
18
Table 3 Difference in difference: seconds of advertising on private TV during the
day (06:00-20:00)
Difference in difference seconds
bann -527.3
(749.3)
constant -805.5
(575.8)
Observations 127
R-squared 0.004
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Private Seconds 6.00-20.00
0
10000
20000
30000
40000
50000
60000
70000
80000
90000
100000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season2007-2008
Season 2008-2009
19
Table 4 Difference in difference: seconds of advertising on public TV during the
day (06:00-20:00)
Difference in difference seconds
bann 2,944***
(411.8)
constant -2,336***
(317.7)
Observations 168
R-squared 0.235
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Seconds Public 6.00-20.00
0
10000
20000
30000
40000
50000
60000
70000
80000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
20
Table 5 Difference in difference: price per second of advertising on private TV
during the night (20:00-06:00)
Difference in difference price per second
bann -51.98**
(25.55)
constant -42.81**
(19.71)
Observations 126
R-squared 0.032
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Price per Second Private 20.00-6.00
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
21
Table 6 Difference in difference: price per second of advertising on public TV
during the day (06:00-20:00)
Difference in difference price per second
bann 80.28***
(6.510)
constant -84.89***
(5.023)
Observations 168
R-squared 0.478
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Price per Second Public 6.00-20.00
0
0.05
0.1
0.15
0.2
0.25
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
22
Table 7 Difference in difference: price per second of advertising on private TV
during the day (06:00-20:00)
Difference in difference price per second
bann 7.471
(12.95)
constant -7.995
(9.953)
Observations 127
R-squared 0.003
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Price per Second Private 6.00-20.00
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
23
Table 8 Difference in difference: advertising revenues on private TV during the
night (20:00-06:00)
Difference in difference ad revenues
bann -1.265e+06**
(505,675)
constant 123,015
(390,137)
Observations 126
R-squared 0.048
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Revenues Private 20.00-6.00
0
10.000
20.000
30.000
40.000
50.000
60.000
70.000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
24
Table 9 Difference in difference: advertising revenues on private TV during the
day (06:00-20:00)
Difference in difference ad revenues
Ad Revenues Public 20.00-6.00
0
2.000
4.000
6.000
8.000
10.000
12.000
14.000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
Ad Revenues Private 6.00-20.00
0
10.000
20.000
30.000
40.000
50.000
60.000
70.000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
25
bann -102,379
(456,542)
constant -941,914***
(350,841)
Observations 127
R-squared 0.000
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Table 10 Difference in difference: advertising revenues on public TV during the
day (06:00-20:00)
Difference in difference ad revenues
bann 1.528e+06***
(117,494)
constant -1.397e+06***
(90,648)
Observations 168
Ad Revenues Public 6.00-20.00
0
2.000
4.000
6.000
8.000
10.000
12.000
14.000
16.000
18.000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
26
R-squared 0.505
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Table 11 Difference in difference: advertising revenues on Digital during the night
(20:00-06:00)
Difference in difference ad revenues
bann 16,503
(34,208)
constant 361,569***
(25,983)
Observations 442
R-squared 0.001
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Revenues Digital 20.00-6.00
0
5.000
10.000
15.000
20.000
25.000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
27
Table 12 Difference in difference: advertising revenues on Digital during the day
(06:00-20:00)
Difference in difference ad revenues
bann 17,710
(36,799)
constant 531,651***
(28,357)
Observations 421
R-squared 0.001
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Revenues Digital 6.00-20.00
0
2.000
4.000
6.000
8.000
10.000
12.000
14.000
16.000
Week
37
Week
39
Week
41
Week
43
Week
45
Week
47
Week
49
Week
51
Week
1
Week
3
Week
5
Week
7
Week
9
Week
11
Week
13
Week
15
Week
17
Week
19
Week
21
Week
23
Week
25
Season 2007-2008
Season 2008-2009
28
Table 13 Difference in difference: advertising revenues on Digital, Cable and
Satellite during the night (20:00-06:00)
Difference in difference ad revenues
bann -2,466
(7,011)
constant 52,364***
(5,394)
Observations 3,137
R-squared 0.000
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Revenues Digital + Cable & Satellite 20.00-6.00
0
5.000
10.000
15.000
20.000
25.000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
29
Table 14 Difference in difference: advertising revenues on Digital, Cable and
Satellite during the day (06:00-20:00)
Difference in difference ad revenues
bann 9,434
(9,105)
constant 57,448***
(7,024)
Observations 3,088
R-squared 0.000
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Revenues Digital + Cable & Satellite 6.00-20.00
0
5.000
10.000
15.000
20.000
25.000
30.000
35.000
Week
37
Week
39
Week
41
Week
43
Week
45
Week
47
Week
49
Week
51
Week
1
Week
3
Week
5
Week
7
Week
9
Week
11
Week
13
Week
15
Week
17
Week
19
Week
21
Week
23
Week
25
Season 2007-2008
Season 2008-2009
30
Table 15 Difference in difference: market advertising revenues during the night
(20:00-06:00)
Difference in difference ad revenues
bann -75,471***
(25,447)
constant 10,727
(19,573)
Observations 3,347
R-squared 0.003
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Revenues 20.00-6.00
0
20000
40000
60000
80000
100000
120000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
31
Table 16 Difference in difference: market advertising revenues during the day
(06:00-20:00)
Difference in difference ad revenues
bann 81,320***
(22,151)
constant -52,659***
(17,087)
Observations 3,383
R-squared 0.004
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Revenues 6.00-20.00
0
20000
40000
60000
80000
100000
120000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
32
Table 17 Difference in difference: market advertising revenues all 24 hours
Difference in difference ad revenues
bann 3,345
(16,887)
constant -21,001
(13,007)
Observations 6,730
R-squared 0.000
Standard errors in parentheses
*** p<0.01, ** p<0.05, * p<0.1
Ad Revenues
20000
40000
60000
80000
100000
120000
140000
160000
180000
200000
Wee
k 37
Wee
k 39
Wee
k 41
Wee
k 43
Wee
k 45
Wee
k 47
Wee
k 49
Wee
k 51
Wee
k 1
Wee
k 3
Wee
k 5
Wee
k 7
Wee
k 9
Wee
k 11
Wee
k 13
Wee
k 15
Wee
k 17
Wee
k 19
Wee
k 21
Wee
k 23
Wee
k 25
Season 2007-2008
Season 2008-2009
35
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